A great tip from [WayBack] python multithreading wait till all threads finished:
ou need to use join method of Thread object in the end of the script.
t1 = Thread(target=call_script, args=(scriptA + argumentsA))
t2 = Thread(target=call_script, args=(scriptA + argumentsB))
t3 = Thread(target=call_script, args=(scriptA + argumentsC))
t1.start()
t2.start()
t3.start()
t1.join()
t2.join()
t3.join()
Thus the main thread will wait till t1, t2 and t3 finish execution.
I’ve used a similar construct that’s used by the multi-threading code I posted a few ways ago (on Passing multiple parameters to a Python method: the * tag) in the ThreadManager class below.
But first some of the other links that helped me getting that code as it is now:
Example:
class ThreadManager:
def __init__(self):
self.threads = []
def append(self, *threads):
for thread in threads:
self.threads.append(thread)
def runAllToCompletion(self):
## The loops are the easiest way to run one methods on all entries in a list; see https://stackoverflow.com/questions/2682012/how-to-call-same-method-for-a-list-of-objects
# First ensure everything runs in parallel:
for thread in self.threads:
thread.start()
# Then wait until all monitoring work has finished:
for thread in self.threads:
thread.join()
# here all threads have finished
def main():
## ...
threadManager.append(
UrlMonitorThread(monitor, "http://%s" % targetHost),
SmtpMonitorThread(monitor, targetHost, 25),
SmtpMonitorThread(monitor, targetHost, 587),
SshMonitorThread(monitor, targetHost, 22),
SshMonitorThread(monitor, targetHost, 10022),
SshMonitorThread(monitor, targetHost, 20022))
threadManager.runAllToCompletion()
–jeroen
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